Axel Oehmichen received both a MEng in Computer Science and Applied Mathematics from ENSEEIHT and a Msc in Advanced Computing from Imperial College London in 2012. After working for a year in the City for Societe Generale CIB, he came back to Imperial College where he joined the Discovery group as a Research Assistant and PhD candidate. He is currently involved in the development of the eTRIKS project which is part of the European Innovative Medicine Initiative (IMI)
Title: eTRIKS Analytical Environment: An Architecture for Multi-tenant Data Exploration and High Performance Bioinformatics
The eTRIKS Analytical Environment (eAE) aims at providing a modular framework for managing and analysing large scale data, in particular the massive amount of data being produced by high-throughput technologies. Not only are there no silver bullets now in view to address all those problems at once but, the very nature of data science requires an environment capable of adapting and evolving at the same pace as medicine does. Thus, this framework mandates the development of a scalable, on demand, performant and resilient to failure solution. The modularity of this framework also enable us to add new components (public or private) or replace aging ones by more performant or proprietary ones. Since flexibly and modularity are the core properties of cloud computing, this makes cloud computing an ideal candidate for supporting this need for an almost organic growth. The eAE relies on mature open source technologies with strong supporting communities, such as tranSMART, OpenStack, Jupyter and the Apache Spark stack. Besides, the eAE aims at achieving data coherence through a data ecosystem that we are building, which will integrate data from various domains coming from various distributed data repositories.